Have you ever wondered how Netflix recommends movies to you based on your watch history or how Amazon recommends products based on your past purchases or browsing history?
These recommendations are thoroughly crafted results through various algorithms built on user’s data and such algorithms are referred to as Recommender Systems. These have become an integral part of many online platforms, providing personalized recommendations to users based on their preferences and behavior. In the article I have written for datascience.fm, I’ll show how to build a movie recommender system using PySpark, a powerful framework for distributed computing in Python.
Sounds interesting? You can read the article here to learn more.
Happy reading!